Abstract: Optimizing the accuracy of SVM classification is one of the most important things in the world of machine learning. This study will use the SVM (Support Vector Machine) algorithm in ...

SegaSwap, a decentralized automated market maker operating on Solana and Sonic SVM, has completed a seed round valuing the project at $10 million, led by Sonic SVM and 10K Ventures. The fresh capital ...

There are a lot of tutorials to get through early in Dying Light: The Beast. Many of them are helpful as you learn the ins and outs of the mechanics, but after a few hours, they can become an ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

Helldivers 2’s well-thought-out world harbours plenty of secrets, but what you may not know as a beginner is that the title also has a multitude of hidden gameplay mechanics that even the tutorial ...

In this interview, Anton Paar’s SVM viscometers take center stage as a prime example of innovation in laboratory technology. Anton Paar has a long-standing reputation for precision instrumentation.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

1 Guangxi Geology and Mineral Construction Group Co., Ltd., Guangxi, China 2 Guangxi Shengfeng Construction Group Co. Ltd., Guangxi, China China is one of the regions most frequently affected by ...

Sonic’s testnet has surpassed one million monthly active users in a testament to the growing adoption of Web3 games. Sonic, the first gaming-focused Solana Virtual Machine (SVM) layer 2, generated ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: One-class support vector machine (SVM) is an extension of SVM to handle unlabeled data. As a mature technique for outlier detection, one-class SVM has been widely used in many applications.